{"id":475861,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:25","modified_gmt":"2023-09-05T11:11:25","slug":"anonymization","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/in\/wiki\/anonymization\/","title":{"rendered":"\u0917\u0941\u092e\u0928\u093e\u092e \u0915\u0930\u0928\u093e"},"content":{"rendered":"<p>\u0905\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u0938\u0947 \u0924\u093e\u0924\u094d\u092a\u0930\u094d\u092f \u0921\u0947\u091f\u093e \u0915\u094b \u0909\u0928 \u0935\u094d\u092f\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0924\u0915 \u0935\u093e\u092a\u0938 \u0932\u093e\u0928\u0947 \u0915\u0940 \u092a\u094d\u0930\u0915\u094d\u0930\u093f\u092f\u093e \u0938\u0947 \u0939\u0948 \u091c\u093f\u0928\u0938\u0947 \u092f\u0939 \u092e\u0947\u0932 \u0916\u093e\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0909\u0928\u0915\u0940 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e 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\u0928\u093e\u092e\u094b\u0902 \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0938\u094d\u0925\u093e\u092a\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948, \u091c\u093f\u0928\u094d\u0939\u0947\u0902 \u0938\u0939\u0940 \u0915\u0941\u0902\u091c\u0940 \u0938\u0947 \u092a\u094d\u0930\u0924\u093f\u0935\u0930\u094d\u0924\u0940 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<tr>\n<td>\u0915\u0942\u091f\u0932\u0947\u0916\u0928<\/td>\n<td>\u0921\u0947\u091f\u093e \u0915\u094b \u0915\u094b\u0921 \u092e\u0947\u0902 \u092a\u0930\u093f\u0935\u0930\u094d\u0924\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948 \u091c\u093f\u0938\u0947 \u090f\u0915 \u0915\u0941\u0902\u091c\u0940 \u0926\u094d\u0935\u093e\u0930\u093e \u0921\u093f\u0915\u094b\u0921 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u092d\u0935\u093f\u0937\u094d\u092f: \u092a\u0930\u093f\u092a\u094d\u0930\u0947\u0915\u094d\u0937\u094d\u092f \u0914\u0930 \u0909\u092d\u0930\u0924\u0940 \u0939\u0941\u0908 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u093f\u092f\u093e\u0901<\/h2>\n<p>\u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0940 \u0913\u0930 \u0926\u0947\u0916\u0924\u0947 \u0939\u0941\u090f, \u0935\u093f\u092d\u0947\u0926\u0915 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0906\u0936\u093e\u091c\u0928\u0915 \u0926\u0943\u0937\u094d\u091f\u093f\u0915\u094b\u0923 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0909\u092d\u0930 \u0930\u0939\u0940 \u0939\u0948\u0964 \u092f\u0939 \u0921\u0947\u091f\u093e \u0915\u094d\u0935\u0947\u0930\u0940\u091c\u093c \u092e\u0947\u0902 \u0938\u093e\u0902\u0916\u094d\u092f\u093f\u0915\u0940\u092f \u0936\u094b\u0930 \u091c\u094b\u0921\u093c\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u092c\u0928\u093e\u090f \u0930\u0916\u0924\u0947 \u0939\u0941\u090f \u0909\u092a\u092f\u094b\u0917\u0940 \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u092e\u093f\u0932\u0924\u0940 \u0939\u0948\u0964 \u0915\u094d\u0935\u093e\u0902\u091f\u092e \u090f\u0928\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u0936\u0928 \u0914\u0930 \u0939\u094b\u092e\u094b\u092e\u094b\u0930\u094d\u092b\u093f\u0915 \u090f\u0928\u094d\u0915\u094d\u0930\u093f\u092a\u094d\u0936\u0928 \u092d\u0940 \u092d\u0935\u093f\u0937\u094d\u092f \u092e\u0947\u0902 \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f \u0938\u0902\u092d\u093e\u0935\u093f\u0924 \u0917\u0947\u092e-\u091a\u0947\u0902\u091c\u0930 \u0939\u0948\u0902\u0964<\/p>\n<h2>\u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u0914\u0930 \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930<\/h2>\n<p>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0921\u093f\u091c\u093f\u091f\u0932 \u0917\u0941\u092e\u0928\u093e\u092e\u0940 \u0915\u0940 \u0916\u094b\u091c \u092e\u0947\u0902 \u090f\u0915 \u0936\u0915\u094d\u0924\u093f\u0936\u093e\u0932\u0940 \u0909\u092a\u0915\u0930\u0923 \u0939\u0948\u0902\u0964 \u0935\u0947 \u0915\u094d\u0932\u093e\u0907\u0902\u091f \u0914\u0930 \u0938\u0930\u094d\u0935\u0930 \u0915\u0947 \u092c\u0940\u091a \u092e\u0927\u094d\u092f\u0938\u094d\u0925 \u0915\u0947 \u0930\u0942\u092a \u092e\u0947\u0902 \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u0915\u094d\u0932\u093e\u0907\u0902\u091f \u0915\u0947 \u0906\u0908\u092a\u0940 \u092a\u0924\u0947 \u0914\u0930 \u0905\u0928\u094d\u092f \u092a\u0939\u091a\u093e\u0928 \u092f\u094b\u0917\u094d\u092f \u091c\u093e\u0928\u0915\u093e\u0930\u0940 \u0915\u094b \u091b\u093f\u092a\u093e\u0924\u0947 \u0939\u0948\u0902\u0964 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u0938\u0941\u0930\u0915\u094d\u0937\u093e \u0915\u094b \u092c\u0922\u093c\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0909\u0928\u094d\u0939\u0947\u0902 \u0917\u0941\u092e\u0928\u093e\u092e\u0940 \u0924\u0915\u0928\u0940\u0915\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u091c\u094b\u0921\u093c\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948, \u091c\u093f\u0938\u0938\u0947 \u0935\u094d\u092f\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0914\u0930 \u0938\u0902\u0917\u0920\u0928\u094b\u0902 \u0915\u094b \u0905\u092a\u0928\u0940 \u092a\u0939\u091a\u093e\u0928 \u092c\u0924\u093e\u090f \u092c\u093f\u0928\u093e \u0907\u0902\u091f\u0930\u0928\u0947\u091f \u092a\u0930 \u0928\u0947\u0935\u093f\u0917\u0947\u091f \u0915\u0930\u0928\u0947 \u0915\u0940 \u0905\u0928\u0941\u092e\u0924\u093f \u092e\u093f\u0932\u0924\u0940 \u0939\u0948\u0964<\/p>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<ol>\n<li><a href=\"https:\/\/edpb.europa.eu\/our-work-tools\/general-guidance\/gdpr-guidelines-recommendations-best-practices_en\" target=\"_new\" rel=\"noopener nofollow\">GDPR \u092e\u0947\u0902 \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u0924\u0915\u0928\u0940\u0915\u0947\u0902<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/applied-cybersecurity\/privacy-engineering\/de-identification\" target=\"_new\" rel=\"noopener nofollow\">\u092a\u0939\u091a\u093e\u0928 \u0939\u091f\u093e\u0928\u0947 \u0915\u0940 \u0924\u0915\u0928\u0940\u0915\u094b\u0902 \u092a\u0930 \u090f\u0928\u0906\u0908\u090f\u0938\u091f\u0940 \u0926\u093f\u0936\u093e\u0928\u093f\u0930\u094d\u0926\u0947\u0936<\/a><\/li>\n<li><a href=\"https:\/\/ico.org.uk\/for-organisations\/guide-to-data-protection\/guide-to-the-general-data-protection-regulation-gdpr\/principles\/anonymisation\/\" target=\"_new\" rel=\"noopener nofollow\">\u092f\u0942.\u0915\u0947. \u0938\u0942\u091a\u0928\u093e \u0906\u092f\u0941\u0915\u094d\u0924 \u0915\u093e\u0930\u094d\u092f\u093e\u0932\u092f (\u0906\u0908\u0938\u0940\u0913) \u0926\u094d\u0935\u093e\u0930\u093e \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u092a\u0930 \u090f\u0915 \u0930\u093f\u092a\u094b\u0930\u094d\u091f<\/a><\/li>\n<li><a href=\"https:\/\/privacytools.seas.harvard.edu\/differential-privacy\" target=\"_new\" rel=\"noopener nofollow\">\u0935\u093f\u092d\u0947\u0926\u0915 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u0915\u093e \u0905\u0935\u0932\u094b\u0915\u0928<\/a><\/li>\n<li><a href=\"https:\/\/www.forbes.com\/sites\/forbestechcouncil\/2018\/07\/16\/the-dangers-of-anonymizing-data-in-the-age-of-the-internet-of-things\/#6e2e77e918f1\" target=\"_new\" rel=\"noopener nofollow\">\u092c\u093f\u0917 \u0921\u0947\u091f\u093e \u0915\u0947 \u092f\u0941\u0917 \u092e\u0947\u0902 \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923<\/a><\/li>\n<\/ol>\n<p>\u091c\u0948\u0938\u0947-\u091c\u0948\u0938\u0947 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u0940 \u0935\u093f\u0915\u0938\u093f\u0924 \u0939\u094b\u0924\u0940 \u0939\u0948 \u0914\u0930 \u0921\u0947\u091f\u093e \u0915\u093e \u092e\u0939\u0924\u094d\u0935 \u0914\u0930 \u092e\u093e\u0924\u094d\u0930\u093e \u092c\u0922\u093c\u0924\u0940 \u091c\u093e\u0924\u0940 \u0939\u0948, \u0921\u093f\u091c\u093f\u091f\u0932 \u0926\u0941\u0928\u093f\u092f\u093e \u092e\u0947\u0902 \u0917\u094b\u092a\u0928\u0940\u092f\u0924\u093e \u0914\u0930 \u0909\u092a\u092f\u094b\u0917\u093f\u0924\u093e \u0915\u0947 \u092c\u0940\u091a \u0938\u0902\u0924\u0941\u0932\u0928 \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0917\u0941\u092e\u0928\u093e\u092e\u0940\u0915\u0930\u0923 \u090f\u0915 \u0906\u0935\u0936\u094d\u092f\u0915 \u0924\u0902\u0924\u094d\u0930 \u092c\u0928\u093e \u0930\u0939\u0947\u0917\u093e\u0964<\/p>","protected":false},"featured_media":467548,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475861","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Anonymization: The Art of Masking Digital Identity<\/mark>","faq_items":[{"question":"What is Anonymization?","answer":"<p>Anonymization is a data protection method that completely erases or modifies personally identifiable information to ensure that the person's identity cannot be reconstructed in any significant way. It's used to ensure the protection of personal privacy while allowing data to be used for various purposes such as research, statistical analysis, or marketing.<\/p>"},{"question":"What is the history of Anonymization?","answer":"<p>The concept of anonymization has been prevalent since the early days of the internet, but it gained notable attention in the late 20th century when privacy concerns rose alongside the exponential growth of digital data. The first mention of data anonymization can be traced back to privacy laws such as the U.S. Privacy Act of 1974.<\/p>"},{"question":"How does Anonymization work?","answer":"<p>The primary mechanisms of anonymization revolve around making data indecipherable or unlinkable to an individual. The anonymization process often involves several steps, including identification of personal data, risk assessment of re-identification, application of anonymization techniques, and validation of the anonymization process.<\/p>"},{"question":"What are the key features of Anonymization?","answer":"<p>The key features of anonymization include privacy protection, data utility, and compliance. It secures personal identities in data sets, allows for meaningful analysis of the anonymized data, and helps organizations comply with data protection laws and regulations such as the General Data Protection Regulation (GDPR).<\/p>"},{"question":"What are the types of Anonymization techniques?","answer":"<p>The types of anonymization techniques include data masking, pseudonymization, data swapping, noise addition, and data aggregation. Each technique has its own way of rendering personal data untraceable to an individual.<\/p>"},{"question":"What are the challenges and solutions in using Anonymization?","answer":"<p>Challenges in using anonymization include the increasing sophistication of re-identification techniques, managing large data sets, and balancing data utility with privacy. Solutions include developing stronger anonymization techniques, incorporating advanced cryptography, leveraging machine learning for more robust data protection, and embedding privacy measures in the system design itself.<\/p>"},{"question":"How are Anonymization and proxy servers related?","answer":"<p>Proxy servers are a powerful tool in the quest for digital anonymity. They act as intermediaries between a client and a server, hiding the client's IP address and other identifiable information. Proxy servers can be combined with anonymization techniques to enhance privacy protection, allowing individuals and organizations to navigate the internet without revealing their identity.<\/p>"},{"question":"What is the future of Anonymization?","answer":"<p>Emerging technologies in anonymization include differential privacy, quantum encryption, and homomorphic encryption. Differential privacy adds statistical noise to data queries, allowing for useful analysis while maintaining privacy. Quantum and homomorphic encryption offer potential game-changing solutions for anonymization in the future.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/475861","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/475861\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/467548"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=475861"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}